Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/34403
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Data standardization of plant-pollinator interactions
Author(s): Salim, Jose A
Saraiva, Antonio M
Zermoglio, Paula F
Agostini, Kayna
Wolowski, Marina
Drucker, Debora P
Soares, Filipi M
Bergamo, Pedro J
Varassin, Isabela G
Freitas, Leandro
Maues, Marcia M
Rech, Andre R
Veiga, Allan K
Acosta, Andre L
Nunes, Carlos E P
Issue Date: 2022
Date Deposited: 8-Jun-2022
Citation: Salim JA, Saraiva AM, Zermoglio PF, Agostini K, Wolowski M, Drucker DP, Soares FM, Bergamo PJ, Varassin IG, Freitas L, Maues MM, Rech AR, Veiga AK, Acosta AL & Nunes CEP (2022) Data standardization of plant-pollinator interactions. GigaScience, 11 (1), Art. No.: giac043. https://doi.org/10.1093/gigascience/giac043
Abstract: Background Animal pollination is an important ecosystem function and service, ensuring both the integrity of natural systems and human well-being. Although many knowledge shortfalls remain, some high-quality data sets on biological interactions are now available. The development and adoption of standards for biodiversity data and metadata has promoted great advances in biological data sharing and aggregation, supporting large-scale studies and science-based public policies. However, these standards are currently not suitable to fully support interaction data sharing. Results Here we present a vocabulary of terms and a data model for sharing plant–pollinator interactions data based on the Darwin Core standard. The vocabulary introduces 48 new terms targeting several aspects of plant–pollinator interactions and can be used to capture information from different approaches and scales. Additionally, we provide solutions for data serialization using RDF, XML, and DwC-Archives and recommendations of existing controlled vocabularies for some of the terms. Our contribution supports open access to standardized data on plant–pollinator interactions. Conclusions The adoption of the vocabulary would facilitate data sharing to support studies ranging from the spatial and temporal distribution of interactions to the taxonomic, phenological, functional, and phylogenetic aspects of plant–pollinator interactions. We expect to fill data and knowledge gaps, thus further enabling scientific research on the ecology and evolution of plant–pollinator communities, biodiversity conservation, ecosystem services, and the development of public policies. The proposed data model is flexible and can be adapted for sharing other types of interactions data by developing discipline-specific vocabularies of terms.
DOI Link: 10.1093/gigascience/giac043
Rights: © The Author(s) 2022. Published by Oxford University Press GigaScience. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Notes: Additional co-authors: Andréa C Araujo, Anselmo Nogueira, Betina Blochtein, Breno M Freitas, Bruno C Albertini, Camila Maia-Silva, Carmen S S Pires, Charles F dos Santos, Elisa P Queiroz, Etienne A Cartolano, Favízia F de Oliveira, Felipe W Amorim, Francisco E Fontúrbel, Gleycon V da Silva, Hélder Consolaro, Isabel Alves-dos-Santos, Isabel C Machado, Juliana S Silva, Kátia P Aleixo, Luísa G Carvalheiro, Márcia A Rocca, Mardiore Pinheiro, Michael Hrncir, Nathália S Streher, Patricia A Ferreira, Patricia M C de Albuquerque, Pietro K Maruyama, Rafael C Borges, Tereza C Giannini, Vinícius L G Brito
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

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